Overview

Brought to you by YData

Dataset statistics

Number of variables	23
Number of observations	3676
Missing cells	9524
Missing cells (%)	11.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.1 MiB
Average record size in memory	609.9 B

Variable types

Text	3
Numeric	10
Categorical	10

Alerts

`property_type` has constant value "house"	Constant
`area` is highly overall correlated with `built_up_area` and 3 other fields	High correlation
`bathroom` is highly overall correlated with `bedRoom` and 4 other fields	High correlation
`bedRoom` is highly overall correlated with `bathroom` and 3 other fields	High correlation
`built_up_area` is highly overall correlated with `area` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`price` is highly overall correlated with `area` and 6 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`super_built_up_area` is highly overall correlated with `area` and 6 other fields	High correlation
`store room` is highly imbalanced (55.7%)	Imbalance
`facing` has 1044 (28.4%) missing values	Missing
`property_type` has 2817 (76.6%) missing values	Missing
`super_built_up_area` has 1802 (49.0%) missing values	Missing
`built_up_area` has 1986 (54.0%) missing values	Missing
`carpet_area` has 1804 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 21.81519917)	Skewed
`built_up_area` is highly skewed (γ1 = 40.70657243)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33323911)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 462 (12.6%) zeros	Zeros

Reproduction

Analysis started	2025-01-28 00:40:57.557796
Analysis finished	2025-01-28 00:41:29.113089
Duration	31.56 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

society
Text

Distinct	676
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	293.9 KiB

Length

Max length	49
Median length	39
Mean length	16.869388
Min length	1

Characters and Unicode

Total characters	61995
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	308 ?
Unique (%)	8.4%

Sample

1st row	ambience creacions
2nd row	m3m woodshire
3rd row	satya the legend
4th row	vatika gurgaon
5th row	dlf the arbour

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.6%
dlf	219	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
global	153	1.6%
m3m	152	1.6%
signature	150	1.6%
heights	134	1.4%
Other values (783)	7495	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6709	10.8%
	6001	9.7%
a	5860	9.5%
r	4169	6.7%
n	4162	6.7%
i	3830	6.2%
t	3717	6.0%
s	3472	5.6%
l	2941	4.7%
o	2752	4.4%
Other values (31)	18382	29.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	61995	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	6709	10.8%
	6001	9.7%
a	5860	9.5%
r	4169	6.7%
n	4162	6.7%
i	3830	6.2%
t	3717	6.0%
s	3472	5.6%
l	2941	4.7%
o	2752	4.4%
Other values (31)	18382	29.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	61995	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	6709	10.8%
	6001	9.7%
a	5860	9.5%
r	4169	6.7%
n	4162	6.7%
i	3830	6.2%
t	3717	6.0%
s	3472	5.6%
l	2941	4.7%
o	2752	4.4%
Other values (31)	18382	29.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	61995	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	6709	10.8%
	6001	9.7%
a	5860	9.5%
r	4169	6.7%
n	4162	6.7%
i	3830	6.2%
t	3717	6.0%
s	3472	5.6%
l	2941	4.7%
o	2752	4.4%
Other values (31)	18382	29.7%

price
Real number (ℝ)

High correlation

Distinct	285
Distinct (%)	7.8%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.1532823

Minimum	0.01
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	0.01
5-th percentile	0.03
Q1	0.6
median	1
Q3	2
95-th percentile	8.4
Maximum	31.5
Range	31.49
Interquartile range (IQR)	1.4

Descriptive statistics

Standard deviation	3.0598228
Coefficient of variation (CV)	1.421004
Kurtosis	14.466122
Mean	2.1532823
Median Absolute Deviation (MAD)	0.93
Skewness	3.2284189
Sum	7878.86
Variance	9.3625155
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1224	33.3%
2	440	12.0%
0.09	166	4.5%
3	165	4.5%
0.08	126	3.4%
0.07	103	2.8%
0.03	101	2.7%
0.04	97	2.6%
0.05	86	2.3%
0.02	85	2.3%
Other values (275)	1066	29.0%

Value	Count	Frequency (%)
0.01	3	0.1%
0.02	85	2.3%
0.03	101	2.7%
0.04	97	2.6%
0.05	86	2.3%
0.06	81	2.2%
0.07	103	2.8%
0.08	126	3.4%
0.09	166	4.5%
0.22	1	< 0.1%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

sector
Text

Distinct	113
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	266.8 KiB

Length

Max length	26
Median length	9
Mean length	9.3210011
Min length	7

Characters and Unicode

Total characters	34264
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	sector 22
2nd row	sector 107
3rd row	sector 57
4th row	sector 83
5th row	sector 63

Value	Count	Frequency (%)
sector	3451	46.8%
road	178	2.4%
sohna	166	2.2%
85	108	1.5%
102	107	1.4%
92	100	1.4%
69	93	1.3%
90	88	1.2%
65	87	1.2%
81	87	1.2%
Other values (106)	2915	39.5%

Most occurring characters

Value	Count	Frequency (%)
o	3806	11.1%
	3704	10.8%
s	3696	10.8%
r	3696	10.8%
e	3541	10.3%
c	3502	10.2%
t	3462	10.1%
1	1076	3.1%
0	803	2.3%
8	780	2.3%
Other values (21)	6198	18.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34264	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	3806	11.1%
	3704	10.8%
s	3696	10.8%
r	3696	10.8%
e	3541	10.3%
c	3502	10.2%
t	3462	10.1%
1	1076	3.1%
0	803	2.3%
8	780	2.3%
Other values (21)	6198	18.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34264	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	3806	11.1%
	3704	10.8%
s	3696	10.8%
r	3696	10.8%
e	3541	10.3%
c	3502	10.2%
t	3462	10.1%
1	1076	3.1%
0	803	2.3%
8	780	2.3%
Other values (21)	6198	18.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34264	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	3806	11.1%
	3704	10.8%
s	3696	10.8%
r	3696	10.8%
e	3541	10.3%
c	3502	10.2%
t	3462	10.1%
1	1076	3.1%
0	803	2.3%
8	780	2.3%
Other values (21)	6198	18.1%

price_per_sqft
Real number (ℝ)

High correlation

Distinct	2651
Distinct (%)	72.5%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13890.811

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	4
5-th percentile	4715.9
Q1	6816.5
median	9020
Q3	13876.5
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7060

Descriptive statistics

Standard deviation	23212.968
Coefficient of variation (CV)	1.6711023
Kurtosis	186.88875
Mean	13890.811
Median Absolute Deviation (MAD)	2793
Skewness	11.436264
Sum	50826479
Variance	5.3884186 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
22222	13	0.4%
11111	13	0.4%
6666	13	0.4%
7500	12	0.3%
8333	12	0.3%
6000	11	0.3%
Other values (2641)	3508	95.4%
(Missing)	17	0.5%

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

High correlation Skewed

Distinct	2418
Distinct (%)	66.1%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	10436.018

Minimum	50
Maximum	750000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	50
5-th percentile	466
Q1	1344.5
median	9014
Q3	14517.5
95-th percentile	26785
Maximum	750000
Range	749950
Interquartile range (IQR)	13173

Descriptive statistics

Standard deviation	22962.023
Coefficient of variation (CV)	2.2002667
Kurtosis	597.66783
Mean	10436.018
Median Absolute Deviation (MAD)	7350
Skewness	21.815199
Sum	38185389
Variance	5.2725449 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3240	43	1.2%
2700	35	1.0%
900	34	0.9%
1800	29	0.8%
1350	22	0.6%
2250	18	0.5%
4500	17	0.5%
4518	16	0.4%
12500	15	0.4%
2430	14	0.4%
Other values (2408)	3416	92.9%
(Missing)	17	0.5%

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
750000	1	< 0.1%
600000	1	< 0.1%
571429	1	< 0.1%
555556	1	< 0.1%
215517	1	< 0.1%
145033	1	< 0.1%
98978	1	< 0.1%
94118	1	< 0.1%
93333	1	< 0.1%
90009	1	< 0.1%

areaWithType
Text

Distinct	2355
Distinct (%)	64.1%
Missing	0
Missing (%)	0.0%
Memory size	428.1 KiB

Length

Max length	124
Median length	119
Mean length	54.240479
Min length	12

Characters and Unicode

Total characters	199388
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1850 ?
Unique (%)	50.3%

Sample

1st row	Carpet area: 3000 (278.71 sq.m.)
2nd row	Super Built up area 1534(142.51 sq.m.)Carpet area: 1056 sq.ft. (98.11 sq.m.)
3rd row	Plot area 642(536.79 sq.m.)Built Up area: 630 sq.yards (526.76 sq.m.)Carpet area: 620 sq.yards (518.4 sq.m.)
4th row	Super Built up area 1245(115.66 sq.m.)Built Up area: 850 sq.ft. (78.97 sq.m.)Carpet area: 790 sq.ft. (73.39 sq.m.)
5th row	Built Up area: 3950 (366.97 sq.m.)

Value	Count	Frequency (%)
area	5572	18.5%
sq.m	3654	12.1%
up	3019	10.0%
built	2315	7.7%
super	1874	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	702	2.3%
carpet	683	2.3%
plot	681	2.3%
Other values (2846)	8699	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26459	13.3%
.	20386	10.2%
a	13152	6.6%
r	9454	4.7%
e	9318	4.7%
1	9205	4.6%
s	7566	3.8%
q	7430	3.7%
t	7323	3.7%
u	6767	3.4%
Other values (25)	82328	41.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	199388	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	26459	13.3%
.	20386	10.2%
a	13152	6.6%
r	9454	4.7%
e	9318	4.7%
1	9205	4.6%
s	7566	3.8%
q	7430	3.7%
t	7323	3.7%
u	6767	3.4%
Other values (25)	82328	41.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	199388	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	26459	13.3%
.	20386	10.2%
a	13152	6.6%
r	9454	4.7%
e	9318	4.7%
1	9205	4.6%
s	7566	3.8%
q	7430	3.7%
t	7323	3.7%
u	6767	3.4%
Other values (25)	82328	41.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	199388	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	26459	13.3%
.	20386	10.2%
a	13152	6.6%
r	9454	4.7%
e	9318	4.7%
1	9205	4.6%
s	7566	3.8%
q	7430	3.7%
t	7323	3.7%
u	6767	3.4%
Other values (25)	82328	41.3%

bedRoom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3599021

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8978577
Coefficient of variation (CV)	0.56485506
Kurtosis	18.2097
Mean	3.3599021
Median Absolute Deviation (MAD)	1
Skewness	3.4850949
Sum	12351
Variance	3.6018638
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.7%
2	942	25.6%
4	659	17.9%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
7	28	0.8%
12	28	0.8%
Other values (9)	44	1.2%

Value	Count	Frequency (%)
1	124	3.4%
2	942	25.6%
3	1496	40.7%
4	659	17.9%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4243743

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.94831
Coefficient of variation (CV)	0.56895357
Kurtosis	17.538735
Mean	3.4243743
Median Absolute Deviation (MAD)	1
Skewness	3.2487382
Sum	12588
Variance	3.7959119
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1077	29.3%
2	1047	28.5%
4	819	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Value	Count	Frequency (%)
1	156	4.2%
2	1047	28.5%
3	1077	29.3%
4	819	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.1 KiB

3+	1171
3	1074
2	884
1	365
0	182

Length

Max length	2
Median length	1
Mean length	1.3185528
Min length	1

Characters and Unicode

Total characters	4847
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3+
2nd row	3
3rd row	3+
4th row	2
5th row	3+

Common Values

Value	Count	Frequency (%)
3+	1171	31.9%
3	1074	29.2%
2	884	24.0%
1	365	9.9%
0	182	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2245	61.1%
2	884	24.0%
1	365	9.9%
0	182	5.0%

Most occurring characters

Value	Count	Frequency (%)
3	2245	46.3%
+	1171	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4847	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	2245	46.3%
+	1171	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4847	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	2245	46.3%
+	1171	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4847	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	2245	46.3%
+	1171	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

floorNum
Real number (ℝ)

Zeros

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7976483

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0131662
Coefficient of variation (CV)	0.88459506
Kurtosis	4.5145653
Mean	6.7976483
Median Absolute Deviation (MAD)	3
Skewness	1.6938478
Sum	24859
Variance	36.158167
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	493	13.4%
1	351	9.5%
4	316	8.6%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	160	4.4%
Other values (33)	937	25.5%

Value	Count	Frequency (%)
0	129	3.5%
1	351	9.5%
2	493	13.4%
3	498	13.5%
4	316	8.6%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	160	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

High correlation Missing

Distinct	8
Distinct (%)	0.3%
Missing	1044
Missing (%)	28.4%
Memory size	233.6 KiB

North-East	623
East	623
North	387
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.8381459
Min length	4

Characters and Unicode

Total characters	17998
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	South-East
2nd row	North-East
3rd row	North-East
4th row	South-East
5th row	East

Common Values

Value	Count	Frequency (%)
North-East	623	16.9%
East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.3%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1044	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
north-east	623	23.7%
east	623	23.7%
north	387	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	17998	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	17998	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	17998	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	281.4 KiB

Relatively New	1646
New Property	593
Moderately Old	562
Undefined	306
Old Property	303

Length

Max length	18
Median length	14
Mean length	13.385745
Min length	9

Characters and Unicode

Total characters	49206
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	New Property
2nd row	Relatively New
3rd row	Relatively New
4th row	Relatively New
5th row	Undefined

Common Values

Value	Count	Frequency (%)
Relatively New	1646	44.8%
New Property	593	16.1%
Moderately Old	562	15.3%
Undefined	306	8.3%
Old Property	303	8.2%
Under Construction	266	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2239	31.8%
relatively	1646	23.4%
property	896	12.7%
old	865	12.3%
moderately	562	8.0%
undefined	306	4.3%
under	266	3.8%
construction	266	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8429	17.1%
l	4719	9.6%
t	3636	7.4%
	3370	6.8%
y	3104	6.3%
r	2886	5.9%
d	2305	4.7%
N	2239	4.6%
w	2239	4.6%
i	2218	4.5%
Other values (15)	14061	28.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49206	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	8429	17.1%
l	4719	9.6%
t	3636	7.4%
	3370	6.8%
y	3104	6.3%
r	2886	5.9%
d	2305	4.7%
N	2239	4.6%
w	2239	4.6%
i	2218	4.5%
Other values (15)	14061	28.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49206	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	8429	17.1%
l	4719	9.6%
t	3636	7.4%
	3370	6.8%
y	3104	6.3%
r	2886	5.9%
d	2305	4.7%
N	2239	4.6%
w	2239	4.6%
i	2218	4.5%
Other values (15)	14061	28.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49206	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	8429	17.1%
l	4719	9.6%
t	3636	7.4%
	3370	6.8%
y	3104	6.3%
r	2886	5.9%
d	2305	4.7%
N	2239	4.6%
w	2239	4.6%
i	2218	4.5%
Other values (15)	14061	28.6%

property_type
Categorical

Constant Missing

Distinct	1
Distinct (%)	0.1%
Missing	2817
Missing (%)	76.6%
Memory size	190.8 KiB

house	859

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	4295
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	house
2nd row	house
3rd row	house
4th row	house
5th row	house

Common Values

Value	Count	Frequency (%)
house	859	23.4%
(Missing)	2817	76.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
house	859	100.0%

Most occurring characters

Value	Count	Frequency (%)
h	859	20.0%
o	859	20.0%
u	859	20.0%
s	859	20.0%
e	859	20.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4295	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
h	859	20.0%
o	859	20.0%
u	859	20.0%
s	859	20.0%
e	859	20.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4295	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
h	859	20.0%
o	859	20.0%
u	859	20.0%
s	859	20.0%
e	859	20.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4295	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
h	859	20.0%
o	859	20.0%
u	859	20.0%
s	859	20.0%
e	859	20.0%

super_built_up_area
Real number (ℝ)

High correlation Missing

Distinct	593
Distinct (%)	31.6%
Missing	1802
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1924.6657

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.25
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.75

Descriptive statistics

Standard deviation	763.97466
Coefficient of variation (CV)	0.39693888
Kurtosis	10.373606
Mean	1924.6657
Median Absolute Deviation (MAD)	372
Skewness	1.8396359
Sum	3606823.5
Variance	583657.29
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1950	37	1.0%
1650	37	1.0%
1578	25	0.7%
2000	25	0.7%
1640	22	0.6%
2150	22	0.6%
2408	19	0.5%
1900	19	0.5%
1930	18	0.5%
1350	17	0.5%
Other values (583)	1633	44.4%
(Missing)	1802	49.0%

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	643
Distinct (%)	38.0%
Missing	1986
Missing (%)	54.0%
Infinite	0
Infinite (%)	0.0%
Mean	2379.5858

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	2
5-th percentile	240.45
Q1	1100
median	1650
Q3	2400
95-th percentile	4691
Maximum	737147
Range	737145
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17942.88
Coefficient of variation (CV)	7.5403375
Kurtosis	1667.8704
Mean	2379.5858
Median Absolute Deviation (MAD)	650
Skewness	40.706572
Sum	4021500
Variance	3.2194695 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
1350	33	0.9%
2700	33	0.9%
900	28	0.8%
1600	26	0.7%
1300	24	0.7%
2000	24	0.7%
1700	23	0.6%
Other values (633)	1387	37.7%
(Missing)	1986	54.0%

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	732
Distinct (%)	39.1%
Missing	1804
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2529.1796

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	843
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	947

Descriptive statistics

Standard deviation	22799.836
Coefficient of variation (CV)	9.0147163
Kurtosis	604.53764
Mean	2529.1796
Median Absolute Deviation (MAD)	472.5
Skewness	24.333239
Sum	4734624.2
Variance	5.1983254 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	35	1.0%
1600	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1000	22	0.6%
1450	22	0.6%
Other values (722)	1578	42.9%
(Missing)	1804	49.1%

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.9 KiB

0	2971
1	705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3676
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2971	80.8%
1	705	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2971	80.8%
1	705	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2971	80.8%
1	705	19.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2971	80.8%
1	705	19.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2971	80.8%
1	705	19.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2971	80.8%
1	705	19.2%

servant room
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.9 KiB

0	2349
1	1327

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3676
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2349	63.9%
1	1327	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2349	63.9%
1	1327	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2349	63.9%
1	1327	36.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2349	63.9%
1	1327	36.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2349	63.9%
1	1327	36.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2349	63.9%
1	1327	36.1%

store room
Categorical

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.9 KiB

0	3338
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3676
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3338	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3338	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3338	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3338	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3338	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3338	90.8%
1	338	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.9 KiB

0	3020
1	656

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3676
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	3020	82.2%
1	656	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3020	82.2%
1	656	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3020	82.2%
1	656	17.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3020	82.2%
1	656	17.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3020	82.2%
1	656	17.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3020	82.2%
1	656	17.8%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.9 KiB

0	3271
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3676
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3271	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3271	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3271	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3271	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3271	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3271	89.0%
1	405	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.9 KiB

1	2403
2	1063
0	210

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3676
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	2403	65.4%
2	1063	28.9%
0	210	5.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2403	65.4%
2	1063	28.9%
0	210	5.7%

Most occurring characters

Value	Count	Frequency (%)
1	2403	65.4%
2	1063	28.9%
0	210	5.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	2403	65.4%
2	1063	28.9%
0	210	5.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	2403	65.4%
2	1063	28.9%
0	210	5.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3676	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	2403	65.4%
2	1063	28.9%
0	210	5.7%

luxury_score
Real number (ℝ)

Zeros

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.530468

Minimum	0
Maximum	174
Zeros	462
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	57.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.055626
Coefficient of variation (CV)	0.74172067
Kurtosis	-0.8802774
Mean	71.530468
Median Absolute Deviation (MAD)	38
Skewness	0.45875761
Sum	262946
Variance	2814.8995
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	462	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
42	45	1.2%
37	45	1.2%
Other values (151)	2312	62.9%

Value	Count	Frequency (%)
0	462	12.6%
5	6	0.2%
6	6	0.2%
7	40	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Interactions

Correlations

	agePossession	area	balcony	bathroom	bedRoom	built_up_area	carpet_area	facing	floorNum	furnishing_type	luxury_score	others	pooja room	price	price_per_sqft	servant room	store room	study room	super_built_up_area
agePossession	1.000	0.000	0.274	0.111	0.130	0.000	0.000	0.092	0.125	0.215	0.256	0.108	0.187	0.112	0.056	0.286	0.143	0.140	0.085
area	0.000	1.000	0.014	0.412	0.308	0.577	0.775	0.052	0.317	0.042	0.351	0.064	0.040	0.510	0.095	0.026	0.000	0.016	0.818
balcony	0.274	0.014	1.000	0.225	0.175	0.000	0.026	0.016	0.079	0.179	0.224	0.082	0.197	0.124	0.033	0.441	0.146	0.183	0.306
bathroom	0.111	0.412	0.225	1.000	0.862	0.465	0.599	0.044	-0.005	0.200	0.180	0.070	0.286	0.704	0.411	0.519	0.244	0.176	0.819
bedRoom	0.130	0.308	0.175	0.862	1.000	0.380	0.569	0.032	-0.104	0.169	0.057	0.079	0.291	0.687	0.417	0.317	0.223	0.154	0.799
built_up_area	0.000	0.577	0.000	0.465	0.380	1.000	0.969	1.000	0.091	0.087	0.289	0.000	0.000	0.563	0.132	0.000	0.000	0.000	0.926
carpet_area	0.000	0.775	0.026	0.599	0.569	0.969	1.000	0.000	0.159	0.000	0.239	0.016	0.000	0.583	0.136	0.000	0.000	0.003	0.894
facing	0.092	0.052	0.016	0.044	0.032	1.000	0.000	1.000	0.000	0.050	0.065	0.000	0.029	0.022	0.000	0.036	0.036	0.000	0.000
floorNum	0.125	0.317	0.079	-0.005	-0.104	0.091	0.159	0.000	1.000	0.020	0.232	0.033	0.102	-0.052	-0.126	0.083	0.112	0.078	0.151
furnishing_type	0.215	0.042	0.179	0.200	0.169	0.087	0.000	0.050	0.020	1.000	0.244	0.061	0.217	0.165	0.022	0.273	0.157	0.143	0.133
luxury_score	0.256	0.351	0.224	0.180	0.057	0.289	0.239	0.065	0.232	0.244	1.000	0.176	0.189	0.158	0.055	0.348	0.228	0.183	0.223
others	0.108	0.064	0.082	0.070	0.079	0.000	0.016	0.000	0.033	0.061	0.176	1.000	0.033	0.038	0.036	0.000	0.106	0.031	0.084
pooja room	0.187	0.040	0.197	0.286	0.291	0.000	0.000	0.029	0.102	0.217	0.189	0.033	1.000	0.349	0.043	0.252	0.305	0.313	0.157
price	0.112	0.510	0.124	0.704	0.687	0.563	0.583	0.022	-0.052	0.165	0.158	0.038	0.349	1.000	0.746	0.318	0.322	0.255	0.736
price_per_sqft	0.056	0.095	0.033	0.411	0.417	0.132	0.136	0.000	-0.126	0.022	0.055	0.036	0.043	0.746	1.000	0.044	0.000	0.030	0.286
servant room	0.286	0.026	0.441	0.519	0.317	0.000	0.000	0.036	0.083	0.273	0.348	0.000	0.252	0.318	0.044	1.000	0.161	0.185	0.584
store room	0.143	0.000	0.146	0.244	0.223	0.000	0.000	0.036	0.112	0.157	0.228	0.106	0.305	0.322	0.000	0.161	1.000	0.226	0.046
study room	0.140	0.016	0.183	0.176	0.154	0.000	0.003	0.000	0.078	0.143	0.183	0.031	0.313	0.255	0.030	0.185	0.226	1.000	0.120
super_built_up_area	0.085	0.818	0.306	0.819	0.799	0.926	0.894	0.000	0.151	0.133	0.223	0.084	0.157	0.736	0.286	0.584	0.046	0.120	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	society	price	sector	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	property_type	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	furnishing_type	luxury_score
0	ambience creacions	6.00	sector 22	20533.0	29221.0	Carpet area: 3000 (278.71 sq.m.)	4	5	3+	10.0	South-East	New Property	NaN	NaN	NaN	3000.0	0	1	0	1	2	49
1	m3m woodshire	1.00	sector 107	7496.0	13340.0	Super Built up area 1534(142.51 sq.m.)Carpet area: 1056 sq.ft. (98.11 sq.m.)	2	2	3	0.0	North-East	Relatively New	NaN	1534.0	NaN	1056.0	1	0	0	0	1	29
2	satya the legend	9.25	sector 57	16577.0	5580.0	Plot area 642(536.79 sq.m.)Built Up area: 630 sq.yards (526.76 sq.m.)Carpet area: 620 sq.yards (518.4 sq.m.)	5	5	3+	4.0	North-East	Relatively New	house	NaN	630.0	620.0	1	1	1	1	2	160
3	vatika gurgaon	0.07	sector 83	6265.0	1117.0	Super Built up area 1245(115.66 sq.m.)Built Up area: 850 sq.ft. (78.97 sq.m.)Carpet area: 790 sq.ft. (73.39 sq.m.)	2	2	2	3.0	South-East	Relatively New	NaN	1245.0	850.0	790.0	1	0	0	1	2	165
4	dlf the arbour	8.50	sector 63	21519.0	3950.0	Built Up area: 3950 (366.97 sq.m.)	4	4	3+	27.0	NaN	Undefined	house	NaN	3950.0	NaN	0	0	0	0	1	61
5	m3m golfestate	1.00	sector 79	10000.0	10000.0	Carpet area: 1400 (130.06 sq.m.)	2	2	2	4.0	East	Undefined	NaN	NaN	NaN	1400.0	1	1	1	0	0	83
6	bajrang apartments	0.03	sector 6	4470.0	671.0	Carpet area: 850 (78.97 sq.m.)	2	2	2	1.0	NaN	Moderately Old	NaN	NaN	NaN	850.0	0	0	0	0	1	0
7	signature global city 81	0.75	sector 81	6849.0	1095.0	Plot area 1095(101.73 sq.m.)	3	2	3	4.0	East	Under Construction	house	NaN	1095.0	NaN	1	0	0	0	1	97
8	microtek greenburg	1.00	sector 86	8446.0	11840.0	Super Built up area 2285(212.28 sq.m.)	3	4	3	12.0	East	Relatively New	NaN	2285.0	NaN	NaN	0	1	0	0	1	72
9	smart world orchard	2.00	sector 61	14785.0	13527.0	Built Up area: 1630 (151.43 sq.m.)Carpet area: 1625 sq.ft. (150.97 sq.m.)	3	3	3	2.0	East	New Property	NaN	NaN	1630.0	1625.0	0	0	0	0	2	61

	society	price	sector	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	property_type	super_built_up_area	built_up_area	carpet_area	study room	servant room	pooja room	furnishing_type	luxury_score
3793	unitech aspen greens	6.80	sector 50	31481.0	2160.0	Plot area 240(200.67 sq.m.)Built Up area: 220 sq.yards (183.95 sq.m.)Carpet area: 200 sq.yards (167.23 sq.m.)	4	5	3	3.0	West	Old Property	house	NaN	220.0	200.0	1	1	0	2	111
3794	emaar mgf the palm drive	3.00	sector 66	14285.0	21001.0	Super Built up area 2100(195.1 sq.m.)	4	5	3+	10.0	East	Relatively New	NaN	2100.0	NaN	NaN	0	1	0	2	49
3795	emaar mgf emerald floors premier	2.00	sector 65	14303.0	13983.0	Super Built up area 1650(153.29 sq.m.)	3	3	3	0.0	North-East	Relatively New	NaN	1650.0	NaN	NaN	1	1	0	2	159
3796	not applicable	0.40	sector 4	9259.0	432.0	Plot area 432(40.13 sq.m.)	1	1	1	1.0	NaN	Moderately Old	house	NaN	432.0	NaN	0	0	0	1	0
3797	international city by sobha phase 1	12.00	sector 109	20000.0	6000.0	Plot area 8000(743.22 sq.m.)Built Up area: 7000 sq.ft. (650.32 sq.m.)Carpet area: 6000 sq.ft. (557.42 sq.m.)	5	6	3	2.0	North-East	Relatively New	house	NaN	7000.0	6000.0	1	1	0	2	154
3798	sare crescent parc	0.07	sector 92	5556.0	1260.0	Built Up area: 140 (117.06 sq.m.)	3	3	2	14.0	NaN	Under Construction	NaN	NaN	140.0	NaN	0	0	0	1	38
3799	emaar mgf the enclave	2.00	sector 66	12352.0	16192.0	Super Built up area 1920(178.37 sq.m.)Built Up area: 1800 sq.ft. (167.23 sq.m.)Carpet area: 1700 sq.ft. (157.94 sq.m.)	3	4	2	12.0	North-East	Relatively New	NaN	1920.0	1800.0	1700.0	0	1	0	2	156
3800	guru gram haryana cghs	1.00	sector 56	7227.0	13837.0	Super Built up area 1920(178.37 sq.m.)	3	3	3	4.0	North	Moderately Old	NaN	1920.0	NaN	NaN	1	0	0	2	134
3801	ss the leaf	1.00	sector 85	7641.0	13087.0	Super Built up area 2408(223.71 sq.m.)Carpet area: 1685 sq.ft. (156.54 sq.m.)	3	4	3	8.0	South-East	Relatively New	NaN	2408.0	NaN	1685.0	0	0	1	1	158
3802	vatika lifestyle homes	1.00	sector 83	5699.0	17547.0	Super Built up area 1755(163.04 sq.m.)Built Up area: 1500 sq.ft. (139.35 sq.m.)Carpet area: 1100 sq.ft. (102.19 sq.m.)	3	2	2	2.0	South-West	Moderately Old	NaN	1755.0	1500.0	1100.0	0	0	0	1	95

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script